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Janssen 2.0: Audio Inpainting in the Time-frequency Domain

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198904" target="_blank" >RIV/00216305:26220/26:0198904 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/11226501" target="_blank" >https://ieeexplore.ieee.org/document/11226501</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/EUSIPCO63237.2025.11226501" target="_blank" >10.23919/EUSIPCO63237.2025.11226501</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Janssen 2.0: Audio Inpainting in the Time-frequency Domain

  • Original language description

    The paper focuses on inpainting missing parts of an audio signal spectrogram, i.e., estimating the lacking time-frequency coefficients. The autoregression-based Janssen algorithm, a state-of-the-art for the time-domain audio inpainting, is adapted for the time-frequency setting. This novel method, termed Janssen-TF, is compared with the deep-prior neural network approach using both objective metrics and a subjective listening test, proving Janssen-TF to be superior in all the considered measures.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20200 - Electrical engineering, Electronic engineering, Information engineering

Result continuities

  • Project

    <a href="/en/project/GA23-07294S" target="_blank" >GA23-07294S: From perceptron to perception: psychoacoustically motivated audio reconstruction using learned components</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2025 33rd European Signal Processing Conference (EUSIPCO)

  • ISBN

    978-9-46-459362-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    301-305

  • Publisher name

  • Place of publication

  • Event location

    Isola delle Femmine – Palermo

  • Event date

    Sep 8, 2025

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article